working snapshot for VegetationLMA, some debug tools

src/main/java/com/elphel/imagej/vegetation/VegetationModel.java

@@ -697,41 +697,61 @@ public class VegetationModel {
 		Rectangle woi50 =       new Rectangle(143,317,35,35);
 		int       min_scenes =  10;
 		double    default_alpha = 0.8;
-		double [] scene_weights = null;
 		double    reg_weights =   0.25;        // fraction of the total weight used for regularization
-		double    alpha_loss =    1.0;         // quadratic loss when alpha reaches -1.0 or 2.0 
+		double    alpha_loss =    1000.0; // 100.; // 10.0;         // quadratic loss when alpha reaches -1.0 or 2.0 
 		double    alpha_offset =  0.0;         // if >0,  start losses above 0.0 and below 1.0;
-		
-		int       num_samples = vegetationLMA.prepareLMA(
-				woi50,         // final Rectangle   woi,
-				min_scenes,    // final int         min_scenes, // minimal number of scenes (inside woi) vegetation pixel must influence
-				default_alpha, // final double      default_alpha,
-				scene_weights, // final double []   scene_weights, // null or per-scene weights (higher for larger offsets)?
-				reg_weights,   // final double             reg_weights,        // fraction of the total weight used for regularization
-				alpha_loss,    // final double             alpha_loss,         // quadratic loss when alpha reaches -1.0 or 2.0 
-				alpha_offset,  // final double             alpha_offset,         // quadratic loss when alpha reaches -1.0 or 2.0 
-				debugLevel);   // final int         debugLevel);
-		
-		double  lambda =            0.1;
-		double  lambda_scale_good = 0.5;
-		double  lambda_scale_bad =  8.0;
-		double  lambda_max =      1000;
-		boolean last_run =       false;
-		double  rms_diff =          0.0001;
-		int     num_iter = 100;
-		vegetationLMA.debug_index = 0;
-		vegetationLMA.debug_image = new double [num_iter][];
-		
-		int lma_rslt= vegetationLMA.runLma( // <0 - failed, >=0 iteration number (1 - immediately)
-				lambda,           // double lambda,           // 0.1
-				lambda_scale_good,// double lambda_scale_good,// 0.5
-				lambda_scale_bad, // double lambda_scale_bad, // 8.0
-				lambda_max,       // double lambda_max,       // 100
-				rms_diff,         // double rms_diff,         // 0.001
-				num_iter,         //int    num_iter,         // 20
-				last_run,         // boolean last_run,
-				null,             // String dbg_prefix,
-				debugLevel);      // int    debug_level)
+		double    alpha_lpf =     2.0; // 1.5; // 5.0; // 0.5;         // pull to average of 4 neighbors
+		double    boost_parallax = 5;
+		boolean exit_loop = debugLevel < 1000;
+		boolean next_run = false;
+		boolean read_pars = true;
+		String  parameters_path = "/media/elphel/SSD3-4GB/lwir16-proc/berdich3/debug/vegetation/lma/parameters_vector_data.tiff";
+		do {
+			String par_path = (read_pars && !next_run)? parameters_path : null;
+			int num_samples = vegetationLMA.prepareLMA(
+					next_run,      // final boolean            keep_parameters,
+					woi50,         // final Rectangle   woi,
+					min_scenes,    // final int         min_scenes, // minimal number of scenes (inside woi) vegetation pixel must influence
+					default_alpha, // final double      default_alpha,
+					reg_weights,   // final double             reg_weights,        // fraction of the total weight used for regularization
+					alpha_loss,    // final double             alpha_loss,         // quadratic loss when alpha reaches -1.0 or 2.0 
+					alpha_offset,  // final double             alpha_offset,         // quadratic loss when alpha reaches -1.0 or 2.0
+					alpha_lpf,     // final double             alpha_lpf,           // pull to average of 4 neighbors
+					boost_parallax, // final double             boost_parallax, // increase weight of scene with maximal parallax relative to the reference scene
+					par_path,       // final String             parameters_read_path, 
+					debugLevel);   // final int         debugLevel);
+			if (debugLevel >-2) {
+				vegetationLMA.showYfX(
+						null, // double [] vector,
+						"reconstructed_model"); // String title)
+			}
+			next_run = true;
+			double  lambda =            5.0; // 0.1;
+			double  lambda_scale_good = 0.5;
+			double  lambda_scale_bad =  8.0;
+			double  lambda_max =      1000;
+			boolean last_run =       false;
+			double  rms_diff =          1e-8; // 0.0001; virtually forever
+			int     num_iter = 100;
+			vegetationLMA.debug_index = 0;
+			vegetationLMA.debug_image = new double [num_iter][];
+
+			int lma_rslt= vegetationLMA.runLma( // <0 - failed, >=0 iteration number (1 - immediately)
+					lambda,           // double lambda,           // 0.1
+					lambda_scale_good,// double lambda_scale_good,// 0.5
+					lambda_scale_bad, // double lambda_scale_bad, // 8.0
+					lambda_max,       // double lambda_max,       // 100
+					rms_diff,         // double rms_diff,         // 0.001
+					num_iter,         //int    num_iter,         // 20
+					last_run,         // boolean last_run,
+					null,             // String dbg_prefix,
+					debugLevel);      // int    debug_level)
+		} while (!exit_loop);
+		if (debugLevel >-2) {
+			vegetationLMA.showYfX(
+					null, // double [] vector,
+					"reconstructed_model_adjusted"); // String title)
+		}
 		return; // 
 		
 	}